Capturing and sharing know-how through visual process representations: a human-Centred approach to teacher workflows

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Authors: Gloria Milena Fernandez-Nieto, Vanessa Echeverría, Yuheng Li, Yi-Shan Tsai, Lele Sha, Guanliang Chen, Dragan Gašević, Zachari Swiecki
Cited by: 1
References: 65

Abstract

Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Documenting teachers' workflows is time-intensive and diverts experts from core responsibilities. Sequential Pattern Mining (SPM) leverages log data to identify expert workflows, offering an automated alternative to represent workflows but requiring transformation into intuitive formats for novice educators. This paper introduces Visual Process Representations (VPR), a design approach combining SPM, Knowledge Management processes, and storytelling techniques to convert expert log data into clear visualisations. We detail the design phases and report a study evaluating visual affordances (text lists vs. pictorial-style) and teachers' perceptions of four versions of the VPR with 160 higher teachers on Prolific, an online research platform. Results indicate improved task performance, usability, and engagement, particularly with enriched visuals, though process memorability and task time improvements were limited. The findings highlight VPR's potential to visualise workflows and support novice educators.

Fields of Study & Subjects

Innovative Teaching and Learning Methods Data Visualization and Analytics Visual and Cognitive Learning Processes

Publication details

Journal / source
Behaviour and Information Technology
Publisher
Informa UK Limited
Pages
1–30
Publication date
28 February 2026
Language
EN